• DocumentCode
    2887931
  • Title

    Quick atmospheric correction (QUAC) code for VNIR-SWIR spectral imagery: Algorithm details

  • Author

    Bernstein, Lawrence S. ; Adler-Golden, Steven M. ; Xuemin Jin ; Gregor, Brian ; Sundberg, Robert L.

  • Author_Institution
    Spectral Sci., Inc., Burlington, MA, USA
  • fYear
    2012
  • fDate
    4-7 June 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We describe an in-scene method for VNIR-SWIR atmospheric correction for multi- and hyperspectral imagery, dubbed QUAC (QUick Atmospheric Correction). It determines the atmospheric compensation parameters directly from the information contained within the scene using the observed pixel spectra. The approach is based on the empirical finding that the mean spectrum of a collection of diverse material spectra, such as the endmember spectra in a scene, is essentially invariant from scene to scene. It allows the retrieval of reasonably accurate reflectance spectra even when the sensor does not have a proper radiometric or wavelength calibration, or when the solar illumination intensity is unknown. The computational speed of the atmospheric correction method is significantly faster than for the first-principles methods, making it potentially suitable for real-time applications. QUAC is applied to atmospherically correction of example AVIRIS and HyMap data sets. Comparisons to the physics-based FLAASH code are shown.
  • Keywords
    atmospheric techniques; geophysical image processing; hyperspectral imaging; remote sensing; HyMap data set; QUAC code; VIRIS data set; VNIR-SWIR atmospheric correction; VNIR-SWIR spectral imagery; atmospheric compensation parameters; atmospheric correction method; diverse material spectra; hyperspectral imagery; observed pixel spectra; physics-based FLAASH code; quick atmospheric correction; radiometric calibration; solar illumination intensity; wavelength calibration; Abstracts; Degradation; Earth; Graphics; Libraries; Optical wavelength conversion; Satellites; atmospheric correction; hyperspectral;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2012 4th Workshop on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-3405-8
  • Type

    conf

  • DOI
    10.1109/WHISPERS.2012.6874311
  • Filename
    6874311